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Low and high glycemic index drinks differentially affect sleep polysomnography and memory consolidation: A randomized controlled trial.
Nutr Res
December 2024
Faculty of Medicine Health and Life Science, Swansea University, Swansea, Wales, UK. Electronic address:
Limited research has examined the effect of meal composition on sleep. Based on previous research, we hypothesized that a low glycemic index (LGI) drink containing 50 g isomaltulose (Palatinose, GI = 32) would result in more N3 sleep, less rapid eye movement (REM) sleep, and better memory consolidation than a high glycemic index (HGI) drink containing 50 g glucose (GI = 100). Healthy males (n = 20) attended the laboratory on three occasions at least a week apart (one acclimatization night and two test nights).
View Article and Find Full Text PDFRandomized clinical trial of ICECaP (Individualized Coordination and Empowerment for Care Partners of Persons with Dementia): Primary mental health and burden outcomes.
PLoS One
January 2025
Department of Neurology, University of Virginia, Charlottesville, Virginia, United States of America.
We examine the efficacy of the Individualized Coordination and Empowerment for Care Partners of Persons with Dementia (ICECaP), an intervention that involves one-on-one individualized support from a dementia care coordinator for a dementia care partner, compared to an active control group. At least once monthly contact is made from a dementia care coordinator to the dementia care partner by telephone, video conferencing, email, or in-person support at clinical visits for the person with dementia. In this pilot randomized unblinded control trial of ICECaP, n = 61 (n = 90 randomized) care partners completed 12-months of the ICECaP intervention and n = 69 (n = 92 randomized) care partners received routine clinical support (controls) in an outpatient memory care clinic at an academic medical center, from which the participants were recruited.
View Article and Find Full Text PDFVentral hippocampus to nucleus accumbens shell circuit regulates approach decisions during motivational conflict.
PLoS Biol
January 2025
Department of Cell and Systems Biology, University of Toronto, Toronto, Canada.
Successful resolution of approach-avoidance conflict (AAC) is fundamentally important for survival, and its dysregulation is a hallmark of many neuropsychiatric disorders, and yet the underlying neural circuit mechanisms are not well elucidated. Converging human and animal research has implicated the anterior/ventral hippocampus (vHPC) as a key node in arbitrating AAC in a region-specific manner. In this study, we sought to target the vHPC CA1 projection pathway to the nucleus accumbens (NAc) to delineate its contribution to AAC decision-making, particularly in the arbitration of learned reward and punishment signals, as well as innate signals.
View Article and Find Full Text PDFResearch on the evolution of college online public opinion risk based on improved Grey Wolf Optimizer combined with LSTM model.
PLoS One
January 2025
School of Marxism, Central South University, Changsha, China.
Since the dissemination of information is more rapid and the scale of users on online platforms is enormous, the public opinion risk is more visible and harder to tackle for universities and authorities. Improving the accuracy of predictions regarding online public opinion crises, especially those related to campuses, is crucial for maintaining social stability. This research proposes a public opinion crisis prediction model that applies the Grey Wolf Optimizer (GWO) algorithm combined with long short-term memory (LSTM) and implements it to analyze a trending topic on Sina Weibo to validate its prediction accuracy.
View Article and Find Full Text PDFRepresentational geometry explains puzzling error distributions in behavioral tasks.
Proc Natl Acad Sci U S A
January 2025
Department of Economics, Columbia University, New York, NY 10027.
Measuring and interpreting errors in behavioral tasks is critical for understanding cognition. Conventional wisdom assumes that encoding/decoding errors for continuous variables in behavioral tasks should naturally have Gaussian distributions, so that deviations from normality in the empirical data indicate the presence of more complex sources of noise. This line of reasoning has been central for prior research on working memory.
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